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On comonotone commuting and weak subadditivity properties of seminormed fuzzy integrals
Fuzzy Sets and Systems, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Boczek, MichaĆ, Kaluszka, Marek
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-Homogeneity properties of seminormed fuzzy integrals
Fuzzy Sets and Systems, 2006This paper is concerned with the ''maxitivity'' and ''homogeneity'' of integrals, in a very general setting. For the semi(co)normed fuzzy integrals, we study the maxitivity, minitivity, and @?-homogeneity (@?-homogeneity) properties. Some necessary conditions for the fuzzy integrals to have such homogeneity properties are obtained.
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IEEE transactions on fuzzy systems, 2021
Three-way decision is consistent with human cognitive processes and applied to different information systems. However, since the real world is more imprecision, hesitation, and ambiguity, experts can select interval fuzzy information to represent their ...
Decui Liang +3 more
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Three-way decision is consistent with human cognitive processes and applied to different information systems. However, since the real world is more imprecision, hesitation, and ambiguity, experts can select interval fuzzy information to represent their ...
Decui Liang +3 more
semanticscholar +1 more source
Actionable XAI for the Fuzzy Integral
IEEE International Conference on Fuzzy Systems, 2021The adoption of artificial intelligence (AI) into domains that impact human life (healthcare, agriculture, security and defense, etc.) has led to an increased demand for explainable AI (XAI).
Bryce J. Murray +2 more
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IEEE International Conference on Fuzzy Systems, 2021
Convolutional neural networks (CNNs) have achieved the state-of-the-art performance in many application areas, due to the capability of automatically extracting and aggregating spatial and channel-wise features from images.
Qiao Lin +3 more
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Convolutional neural networks (CNNs) have achieved the state-of-the-art performance in many application areas, due to the capability of automatically extracting and aggregating spatial and channel-wise features from images.
Qiao Lin +3 more
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IEEE transactions on fuzzy systems, 2021
This article proposes a method to estimate the structure and motion (SaM) of multiple objects using a monocular camera. Most of the existing methods for SaM estimation are restricted to a single object by constraining the camera and object motions.
Dongkyoung Chwa
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This article proposes a method to estimate the structure and motion (SaM) of multiple objects using a monocular camera. Most of the existing methods for SaM estimation are restricted to a single object by constraining the camera and object motions.
Dongkyoung Chwa
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Geometrically Motivated Fuzzy Measures and Choquet Integral for Multi-Look Fusion
IEEE International Conference on Fuzzy Systems, 2023The fuzzy integral (FI), which is defined and ultimately driven by the fuzzy measure (FM), is a versatile aggregation operator. Data driven approaches tend to learn fixed FIs that may not perform well in new contexts.
Brendan J. Alvey, Derek Anderson
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Fusion of Explainable Deep Learning Features Using Fuzzy Integral in Computer Vision
IEEE transactions on fuzzy systemsFuzzy integral fusion has been shown as an effective tool for enhancing classification accuracy while also achieving explainability. With the deep learning boom in the past decade, many researchers have investigated the advantages of fusing various deep ...
Yifan Wang +3 more
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IEEE International Conference on Fuzzy Systems
Aggregation is key technique in decision-level fusion of classifiers. Beyond affording performance in an ensemble-sense, such aggregation operator based fusion also has the potential to add a substantial layer of interpretability to the overall systems ...
Yanhao Huang, Christian Wagner
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Aggregation is key technique in decision-level fusion of classifiers. Beyond affording performance in an ensemble-sense, such aggregation operator based fusion also has the potential to add a substantial layer of interpretability to the overall systems ...
Yanhao Huang, Christian Wagner
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IEEE transactions on fuzzy systems
Nonlinear switched positive systems (SPSs) subject to time-varying delays are ubiquitous in actual applications, whose control and synthesis are complicated due to the influence of positivity constraints, switching laws, and time delays.
Zhiye Bai +3 more
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Nonlinear switched positive systems (SPSs) subject to time-varying delays are ubiquitous in actual applications, whose control and synthesis are complicated due to the influence of positivity constraints, switching laws, and time delays.
Zhiye Bai +3 more
semanticscholar +1 more source

